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For the first part of this article series, see here.
The field of artificial intelligence moves fast, insist Rob Toews, venture capitalist at Highland Capital Partners.
Deep learning pioneer Yoshua Bengio has provocative ideas about the future of AI.
Photo: Maryse Boyce, IEEE Spectrum
It has only been 8 years since the modern era of deep learning began at the 2012 ImageNet competition. Progress in the field since then has been breathtaking and relentless.
If anything, this breakneck pace is only accelerating. Five years from now, the field of AI will look very different than it does today. Methods that are currently considered cutting-edge will have become outdated; methods that today are nascent or on the fringes will be mainstream.
What will the next generation of artificial intelligence look like? Which novel AI approaches will unlock currently unimaginable possibilities in technology and business?
My previous column covered three emerging areas within AI that are poised to redefine the field—and society—in the years ahead. This article will cover three more...
Like artificial intelligence more broadly, generative AI has inspired both widely beneficial and frighteningly dangerous real-world applications. Only time will tell which will predominate.
On the positive side, one of the most promising use cases for generative AI is synthetic data. Synthetic data is a potentially game-changing technology that enables practitioners to digitally fabricate the exact datasets they need to train AI models.
Source: Forbes
